posted on 2022-07-21, 18:11authored byYuhan Peng, Yiming Bi, Lu Dai, Haifeng Li, Depo Cao, Qijie Qi, Fu Liao, Ke Zhang, Yudong Shen, Fangqi Du, Hui Wang
As the most basic indexes to evaluate the quality of
tobacco, the
contents of routine chemical constituents in tobacco are mainly detected
by continuous-flow analysis at present. However, this method suffers
from complex operation, time consumption, and environmental pollution.
Thus, it is necessary to establish a rapid accurate detection method.
Herein, different from the ongoing research studies that mainly chose
near-infrared spectroscopy as the information source for quantitative
analysis of chemical components in tobacco, we proposed for the first
time to use the thermogravimetric (TG) curve to characterize the chemical
composition of tobacco. The quantitative analysis models of six routine
chemical constituents in tobacco, including total sugar, reducing
sugar, total nitrogen, total alkaloids, chlorine, and potassium, were
established by the combination of TG curve and partial least squares
algorithm. The accuracy of the model was confirmed by the value of
root mean square error for prediction. The models can be used for
the rapid accurate analysis of compound contents. Moreover, we performed
an in-depth analysis of the chemical mechanism revealed by the result
of the quantitative model, namely, the regression coefficient, which
reflected the correlation degree between the six chemicals and different
stages of the tobacco thermal decomposition process.